Key Skills

Job Description

Role: Computational Modeling Engineer - Mechanical Contract: Via Randstad Duration: 1 year ( Extension/Transition expected) Your Role As a Computational Modeling Engineer, you will be part of the Innovation and Design community within Philips. Leveraging your background in either (bio)physics, mechanics, or computational modeling, you will contribute to the development of innovative medical device solutions across the health continuum. Your work will provide deep physical insight and predictive capability, enabling informed design decisions and accelerating R&D through advanced simulation and virtual prototyping. Computational (bio)physics plays a key role at Philips in de-risking innovation, reducing development time, and strengthening propositions through simulation-driven innovation grounded in physical mechanisms. In this role, you will apply state-of-the-art modeling techniques to real-world engineering challenges in healthcare. Your Responsibilities Contribute to research and development projects through advanced computational modeling and simulation. Develop, apply, and validate physics-based models to support design, optimization, and decision-making. Co-develop and strengthen the computational (bio)physics competence within the team. Stay up to date with the latest developments in modeling methodologies, numerical techniques, and simulation tools. Explore and support new propositions across our businesses of image-guided therapy, precision diagnostics, patient monitoring, and personal care, translating application needs into modeling strategies. Your Team You will join the Computational Modeling team, consisting of specialists with expertise in multiphysics, biophysics, solid mechanics and fluid dynamics. The team is based at the Philips High Tech Campus in Eindhoven and supports Philips businesses globally. We operate across the entire health continuum, providing deep physics insight, simulation-driven innovation, and virtual prototyping capabilities to a wide range of Philips products. Our Offer We offer a challenging and intellectually stimulating environment within a leading health technology company. You will work alongside highly skilled experts, tackle complex and meaningful problems, and have strong opportunities for technical and personal development in an innovative, collaborative setting. We Are Looking For To be successful in this role, you bring a strong scientific background combined with a hands-on interest in applying modeling to real-world engineering challenges. You have: Preferably a PhD in Mechanical Engineering or Applied Physics, or a closely related field, with a focus on computational modeling and simulation. A solid foundation in physics-based and mechanistic modeling of solid mechanics or dynamics. Experience translating simulation results into clear, actionable insights for engineering and R&D stakeholders. An innovative and analytical mindset, with curiosity for new modeling approaches and applications. A proactive, flexible attitude and the ability to take ownership of technical challenges. Experience with commercial and/or open-source simulation tools is preferred, such as Marc-Mentat, ANSYS, Abaqus, OpenFOAM, Comsol. If you find interesting to explore further, kindly apply before July 10,2026. Thanks

Core Responsibilities

Develop, apply, and validate physics-based computational models and simulations to support research and development, product design, optimization, and engineering decisions. Strengthen the team's computational biophysics capabilities and translate healthcare application needs into modeling strategies across Philips businesses.

Requirements

A PhD in Mechanical Engineering, Applied Physics, or a closely related field is preferred, with a focus on computational modeling and simulation. Candidates should have a strong foundation in physics-based modeling of solid mechanics or dynamics, be able to communicate actionable insights to engineering stakeholders, and preferably have experience with simulation tools such as Marc-Mentat, ANSYS, Abaqus, OpenFOAM, or COMSOL.